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Urgent! Director, ML Engineering Job Opening In India, India – Now Hiring Confidential
Your Role Accountabilities
1.Leadership & Team Building
Lead, mentor, and grow a high-performing ML engineering team, fostering a culture of innovation and continuous improvement.
Define and execute the roadmap for building scalable, high-impact ML solutions that support the company's core business and strategic objectives .
Collaborate closely with leadership across departments, including data science, product management, and IT, to ensure alignment of ML initiatives with business needs.
Establish clear performance metrics and regularly assess the effectiveness of the team and individual contributors.
Promote knowledge-sharing, best practices, and a growth mindset within the team to enhance technical depth and execution efficiency.
2.End-to-End ML Solution Development
Oversee the design, development, deployment, and maintenance of machine learning models and systems that power content recommendation engines, personalization, automation, and other key business areas.
Drive the adoption of best practices in model development, testing, monitoring, and optimization across the team.
Build scalable, production-ready ML pipelines that process vast amounts of data and generate real-time insights.
Ensure that solutions are optimized for performance, cost-efficiency, and maintainability in a cloud-native, microservices environment.
Lead efforts to continuously improve model performance, incorporating user feedback and business metrics.
3.Innovation & Strategy
Identify and evaluate emerging technologies, algorithms, and methodologies in the AI/ML space, integrating them into the company's tech stack to maintain a competitive edge.
Work closely with senior leadership to define AI/ML strategies and influence decision-making on product and business development.
Evaluate and implement advanced techniques in natural language processing (NLP), computer vision, deep learning, reinforcement learning, and other domains as relevant to the media industry.
Provide thought leadership on the application of AI/ML in media and entertainment, positioning the company as a leader in AI-driven innovation.
4.Collaboration & Cross-Functional Engagement
Partner with product management, engineering, and business teams to translate complex business problems into technical ML solutions.
Collaborate on the integration of ML models into products and workflows, ensuring smooth end-to-end delivery from prototype to production.
Act as a trusted advisor to executives and stakeholders on ML capabilities, project status, risks, and business impact.
Drive the development and implementation of data governance, privacy, and security practices to ensure compliance with regulatory requirements.
Facilitate the sharing of ML insights with broader company teams, providing transparency and fostering a data-driven culture.
5.Performance Monitoring & Reporting
Define and track key performance indicators (KPIs) to measure the success of ML initiatives and models.
Oversee the collection and analysis of model performance data, providing regular updates to leadership and stakeholders.
Ensure that deployed models are continuously monitored , maintained, and updated to meet evolving business needs.
Lead post-mortem analyses of model failures and actively drive improvements based on lessons learned.
Utilize data to iterate and refine models to increase their accuracy and efficiency.
Qualifications & Experiences
Masters or Ph.D. degree in Computer Science, Engineering, Data Science, Machine Learning, or a related field from a reputed institution.
1 2 + years of experience in the field of machine learning and AI, with at least 5 years in a leadership or managerial role.
Proven track record of successfully leading and scaling ML engineering teams and delivering large-scale ML projects in a fast-paced environment.
Experience working in the Media & Entertainment industry or related sectors, with knowledge of data-driven content recommendations, personalization, and automation.
Expertise in designing, building, and deploying production-grade machine learning systems at scale.
Experience in leading cross-functional teams to deliver end-to-end machine learning solutions, from conceptualization to deployment and optimization.
Demonstrated ability to influence senior stakeholders and executives, translating technical concepts into business impact.
Strong expertise in machine learning algorithms, deep learning, reinforcement learning, and statistical modeling techniques.
In-depth knowledge of data structures, software engineering principles, and system design.
Experience with distributed computing and cloud technologies (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
Proficiency in programming languages such as Python, Java, or Scala, and familiarity with ML frameworks like TensorFlow, PyTorch , or Keras .
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Unlock Your Director ML Potential: Insight & Career Growth Guide
Real-time Director ML Jobs Trends in India, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Director ML in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 42652 jobs in India and 4401 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in Director ML roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Confidential is currently hiring and seeking a Director, ML Engineering to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Confidential adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Director, ML Engineering Jobs India varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Director, ML Engineering typically include Other Management Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Director, ML Engineering interview at Confidential, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Confidential's products or services and be prepared to discuss how you can contribute to their success.
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